• Journal of Acupuncture Research
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• v.38 no.2
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• pp.122-133
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• 2021

This review aimed to evaluate the quality of case reports where acupotomy was performed according to the CAse REport (CARE) guidelines and the Joanna Briggs Institute (JBI) critical appraisal checklist. Case reports on acupotomy published in Korea from 2013 to October 2020 were included in this review. A total of 28 acupotomy related case reports were selected, and a quality evaluation was verified using the CARE guidelines and JBI critical appraisal checklist. Among the case reports, spinal conditions/diseases were most commonly reported. The overall complete reporting rate for each study was relatively high (median of 63.4% according to the CARE guidelines and 73.4% according to JBI critical appraisal checklist for case reports and 62% for case series). However, low reporting rates were determined in several subcategories namely, "Intervention adherence and tolerability," "Timeline," "Diagnostic challenges," "Patient perspective," and "Adverse or unanticipated events" for case reports, and "Reporting of the presenting site/clinic," "Demographic information," "Statistical analysis," and "Clear criteria for inclusion" for case series. When reporting cases where acupotomy was performed, it is recommended that the CARE guidelines are followed to improve the quality of research. In addition, new guidelines and tools for the clinical situation of Korean medicine should be developed.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.12
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• pp.553-564
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• 2014

In this paper, we propose the system for automatic generation of issue analysis report based on social big data mining, with the purpose of resolving three problems of the previous technologies in a social media analysis and analytic report generation. Three problems are the isolation of analysis, the subjectivity of experts and the closure of information attributable to a high price. The system is comprised of the natural language query analysis, the issue analysis, the social big data analysis, the social big data correlation analysis and the automatic report generation. For the evaluation of report usefulness, we used a Likert scale and made two experts of big data analysis evaluate. The result shows that the quality of report is comparatively useful and reliable. Because of a low price of the report generation, the correlation analysis of social big data and the objectivity of social big data analysis, the proposed system will lead us to the popularization of social big data analysis.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.111-118
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• 2022

The purpose of this research is to evaluate the quality of non-financial information disclosure by companies listed on the Vietnamese stock exchange. In 2019, 140 annual reports from 140 companies listed on the Vietnam Stock Exchange were included in the research sample. The remaining 134 reports were eligible study after removing those that lacked essential data. Using the statistical software SPSS version 25 and Excel office software, the study has selected the data processing method and the disproportionate disclosure index method to evaluate the quality of non-financial information disclosure of companies. The findings of the study demonstrate that companies listed on the Vietnam stock exchange are particularly interested in giving non-financial information to financial statement consumers as required by law, although the level of disclosure is still inadequate. The findings also illustrate the varying levels of non-financial information disclosure by category of information, as well as substantial disparities between them (general information about the company, environmental and social information, corporate governance information, etc.). The findings of the study show that the majority of Vietnam's publicly traded enterprises are less interested in reporting environmental information.

• Journal of Internet Computing and Services
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• v.20 no.2
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• pp.29-37
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• 2019

As software development technology evolves, the quality of software has increased. But software created through sophisticated technology is still defective. The developer will be aware of the defect through a bug report and the reported defect must be fixed as soon as possible for the software to function correctly. It is important to know which component of the program is related to the reported defect and should be fixed. However, even though the developer understands the developed software, the task of tracing faults is a time-consuming task and requires effort. Therefore, if there is a way for developers to support tracing faults, they could fix defects more quickly. Because fixing defects rapidly is a factor of software reliability, fault traceability is essential and an effective method is needed. Therefore, in this paper, we propose a model-based fault traceability enhancement technique by using bug report and commit information and verify the effectiveness of the proposed technique.

• Journal of Internet Computing and Services
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• v.18 no.6
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• pp.55-63
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• 2017

One of the purposes of Information Technology (IT) is to support human response to natural and social problems such as natural disasters and spread of disease, and to improve the quality of human life. Recent climate change has happened worldwide, natural disasters threaten the quality of life, and human safety is no longer guaranteed. IT must be able to support tasks related to disaster response, and more importantly, it should be used to predict and minimize future damage. In South Korea, the data related to the damage is checked out by each local government and then federal government aggregates it. This data is included in disaster reports that the federal government discloses by disaster case, but it is difficult to obtain raw data of the damage even for research purposes. In order to obtain data, information extraction may be applied to disaster reports. In the field of information extraction, most of the extraction targets are web documents, commercial reports, SNS text, and so on. There is little research on information extraction for government disaster reports. They are mostly text, but the structure of each sentence is very different from that of news articles and commercial reports. The features of the government disaster report should be carefully considered. In this paper, information extraction method for South Korea government reports in the word format is presented. This method is based on patterns and dictionaries and provides some additional ideas for tokenizing the damage representation of the text. The experiment result is F1 score of 80.2 on the test set. This is close to cutting-edge information extraction performance before applying the recent deep learning algorithms.

• KIISE Transactions on Computing Practices
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• v.22 no.5
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• pp.235-239
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• 2016

'Commit-bug link', the link between commit history and bug reports, is used for software maintenance and defect prediction in bug tracking systems. Previous studies have shown that the links are automatically detected based on text similarity, time interval, and keyword. Existing approaches depend on the quality of commit history and could thus miss several links. In this paper, we proposed a technique to link commit and bug report using not only messages of commit history, but also the similarity of files in the commit history coupled with bug reports. The experimental results demonstrated the applicability of the suggested approach.

• Journal of the Korea Convergence Society
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• v.11 no.11
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• pp.25-31
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• 2020

This study is to study a method of applying weights for quality characteristics in software test evaluation. The weight application method analyzes the text of the test report and uses the ratio according to the frequency of the text as a weight for the quality characteristics of the software test score. The feasibility review of the results of this study was conducted by comparing the results of the questionnaire survey, which made the developers and users to evaluate the importance of software, and the results of the frequency analysis of text analysis. When measuring quality based on the eight quality characteristics presented in ISO/IEC 25023, the result of this study is the software quality measurement result considering software characteristics, whereas the result of this study is the software quality measurement result by applying the same weight when measuring quality.

• Journal of Korean Society on Water Environment
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• v.24 no.5
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• pp.592-597
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• 2008

Current water quality standard (WQS) in Korea is based on the protection of human health, not considering the protection of aquatic organisms. Most of chemicals can be toxic to ecological biota as well as human. Health of aquatic biota is closely related to the human health via food chain, therefore ecological risk based-WQS needs to be developed to protect the aquatic ecosystem. In this study, we selected the 31 chemicals in the Project entitled 'Development of integrated methodology for evaluation of water environment'. The methodology for calculating water quality criteria was derived from the Australian and New Zealand processes for deriving guideline trigger value for aquatic ecosystem. The available ecotoxicity data were collected from US EPA's ECOTOXicology Database (ECOTOX), TOX-2000 Database, European Chemicals Bureau (ECB)'s International Uniform Chemical Information Database (IUCLID) and Environmental Protection Agency (US EPA)'s report 'Ambient Water Quality Criteria (AWQC)'. The aquatic toxicity data for the Korean species were selected for risk assessment to reflect the Korean water environment. The monitoring values were calculated from the water quality monitoring data four main Korean rivers. We suggested the order of priorities of chemicals based on ecological risk assessment. We expect that these results can be useful information for establishing the WQS for the protection of aquatic ecosystem.

• Journal of Information Management
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• v.35 no.4
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• pp.35-56
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• 2004

As the more web contents are available through the internet, relative importance of electronic resources in the library collection has gradually increased. While several measurement criteria are used for the effective collection development, the usage statistics is generally accepted as the key factor to assess the retention and cancellation of electronic resources. In this paper it was examined the roles and problems inherent in the electronic journals usage statistics, and then the quality of electronic journal usage reporting services provided by several publishers were evaluated, following the ICOLC and COUNTER guidelines. To apply the usage statistics of electronic journal on the library collection development, it is necessary that libraries, related association and publishers accomplish more consistent and practical usage statistics components. And it is recommended that publisher and aggregator accommodate the guideline for electronic journal usage report.

• Journal of Industrial Technology
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• v.31 no.B
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• pp.99-105
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• 2011

Recently, smartphones have been widely used in wireless communications which caused severe data overload in cellular networks. Cellular companies consider increasing wireless data capacity in overloaded areas. Determining overloaded areas is mainly made from user reports which are currently collected by calling or simple apps by some active users experiencing overloads. Since the current reporting method is inconvenient and does not contain detail information about the overload conditions, and therefore is used by only some active users, the overloaded areas determined from the reports are not likely to be accurate. Therefore, we need a new reporting method which is convenient enough for even inactive users to willingly report the overload condition and which delivers detail information about the overloads. In this paper, we design and implement a measurement function of smartphone's WCDMA communication quality including overload condition and management system of mobile wireless communication networks about smartphones' communication quality.